CompStak

Data Scientist

• Leverage advanced statistical modeling to analyze and predict commercial real estate analytics and market trends.
• Apply modern ML/AI techniques (XGBoost, embeddings, LLMs, etc.) to extract insights, and power CompStak’s next-generation data products.
• Build scalable pipelines that integrate structured CRE datasets with structured and unstructured sources, improving ingestion, enrichment, and automation.
• Collaborate across engineering, product, and data teams to bring innovative, data-driven solutions to life. Bridge data and domain expertise by bringing real estate/finance context into models, ensuring accuracy, interpretability, and business relevance.

Account Executive

• Adding customer equity by creating valued business partnerships with customers, proactively identifying business opportunities for the customer, and conveying a firm understanding of the customer's business and political drivers
• Understanding and utilizing economic, financial, industry, and organizational data to accurately diagnose customers' business strengths, weaknesses, and key issues that can inform sales strategies and plans
• Understanding how CRE Data is being adopted by the prospect and where they translate into business efficiencies or top-line revenue
• Ability to forecast revenue in identified territories with predictable accuracy
• Building a book of business to expand with green field opportunity and targeting strategic-named accounts to source new business growth
• Ability to work in a flexible work environment

Senior Account Executive

Customer Success Manager

• Proactively manage a roster of assigned CompStak customers to deliver consistent value across the entire customer lifecycle
• Manage the onboarding of new customers; gain insight into customer goals and expectations and work to decrease the time-to-value across your portfolio
• Coordinate and deliver basic and advanced training, while advising customers on best practices
• Resolve customer issues, alone and through collaboration with other CompStak teams; approach all situations with curiosity and creativity
• Build strong customer relationships by maintaining high levels of engagement and communication; conduct routine account performance planning and business reviews
• Perform data-driven reviews and analysis on customer usage and needs to prioritize opportunity and risk; consistently renew and expand customer contracts, meeting and exceeding personal and team goals
• Drive customer advocacy in the form of references, referrals, and case studies
• Own our University vertical, including new sales, onboarding and implementation
• Actively participate in the evolution of CompStak; insist on excellence in our own Client Success initiatives
• Contribute towards the development of a strong team environment by upholding high work standards
• Go the extra mile to ensure our customers are successful!

Client Success Associate

Product Manager

• Define and drive the roadmap for enterprise-facing products (platform, APIs, data delivery)
• Partner with sales, client success, and Strategic Advisory to understand institutional workflows
• Balance bespoke client requirements with scalable product offerings
• Lead initiatives around AI-driven experiences: workflow automation, enrichment, and agents
• Collaborate with engineering and data teams to scope and deliver large-scale solutions
• Own measurement of product success: adoption, revenue impact, client satisfaction
• Lead CompStak’s enterprise products for institutional clients (asset managers, lenders, investors) and deliver scalable, differentiated data and workflow solutions

Senior Product Manager

Sales Development Rep

• Prospect for new business, researching companies and individuals that meet criteria for the CompStak Enterprise platform
• Develop ideal customer profiles for outbound prospecting
• Build new methods for attracting clients
• Take initiative to help marketing convert their efforts into leads for the sales team
• Work to meet and exceed monthly goals defined to maximize deal flow with outbound emails, calls, setting up meetings, etc.

Data Scientist

Senior Account Executive

Client Success Associate

Senior Product Manager

Sales Development Representative